Ziqiu Zeng

Few-Shot Neural Differentiable Simulator: Real-To-Sim Rigid-Contact Modeling

Accurate physics simulation is essential for robotic learning and control, yet analytical simulators often fail to capture complex contact dynamics, while learning-based simulators typically require large amounts of costly real-world data. To bridge this gap, we propose a few-shot real-to-sim approa…